DOI: https://doi.org/10.18517/ijods.1.2.57-71.2020
Using Big Data Analytics for Decision Making: Analyzing Customer Behavior using Association Rule Mining in a Gold, Silver, and Precious Metal Trading Company in Indonesia
Abstract
Indonesia is facing many challenges in the fourth industrial revolution (4IR) era. One of them is related to big data technologies and implementation that can be seen clearly from Indonesia Industry Readiness Index (INI) 4.0. Therefore, focusing on implementing big data analytics in a gold, silver, and precious metal trading company is the objective of this manuscript to support daily business operations. To be more specific, the aim is to discover meaningful patterns and ensure high quality of knowledge discovery from the big data available in a company in Indonesia. It is needed to support the Making Indonesia 4.0 as a roadmap to implement industrial digitalization in Indonesia. The methodology used for the big data implementation in this manuscript is the combination of the CRISP-DM framework and key steps for customer analytics. The result of this research is a list of recommendations that facilitate strategic planning based on evidence of measurable big data analytics to achieve the business goals of a company.
Article Details
How to Cite
[1]
W. I. Yudhistyra, E. M. Risal, I.- soon Raungratanaamporn, and V. Ratanavaraha, “Using Big Data Analytics for Decision Making: Analyzing Customer Behavior using Association Rule Mining in a Gold, Silver, and Precious Metal Trading Company in Indonesia”, Int. J. Data. Science., vol. 1, no. 2, pp. 57-71, Jun. 2020.
Issue
Section
Articles
References
K. Schwab, "The Global Competitiveness Report," Geneva, 2016. [Online]. Available: http://www3.weforum.org/docs/GCR2016-2017/05FullReport/TheGlobalCompetitivenessReport2016-2017_FINAL.pdf
P. Dallasega, E. Rauch, and C. Linder, "Industry 4.0 as an enabler of proximity for construction supply chains: A systematic literature review," Computers in Industry, vol. 99, pp. 205-225, 2018, doi: 10.1016/j.compind.2018.03.039.
K. Schwab. "The Fourth Industrial Revolution: what it means and how to respond." https://www.weforum.org/agenda/2016/01/the-fourth-industrial-revolution-what-it-means-and-how-to-respond/ (accessed.
K. Schwab, The Fourth Industrial Revolution. World Economic Forum, 2016, pp. 175-175.
A. C. Pereira and F. Romero, "A review of the meanings and the implications of the Industry 4.0 concept," Procedia Manufacturing, vol. 13, pp. 1206-1214, 2017, doi: 10.1016/j.promfg.2017.09.032.
M. Piccarozzi, B. Aquilani, and C. Gatti, "Industry 4.0 in Management Studies: A Systematic Literature Review," Sustainability, vol. 10, no. 10, 2018, doi: 10.3390/su10103821.
L. Koh, G. Orzes, and F. Jia, "The fourth industrial revolution (Industry 4.0): technologies disruption on operations and supply chain management," International Journal of Operations & Production Management, vol. 39, no. 6/7/8, pp. 817-828, 2019, doi: 10.1108/IJOPM-08-2019-788.
J. Benitez, J. Llorens, and J. Braojos, "How information technology influences opportunity exploration and exploitation firm’s capabilities," Information & Management, vol. 55, no. 4, pp. 508-523, 2018, doi: 10.1016/j.im.2018.03.001.
S. S. Kamble, A. Gunasekaran, and S. A. Gawankar, "Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives," Process Safety and Environmental Protection, vol. 117, pp. 408-425, 2018, doi: 10.1016/j.psep.2018.05.009.
P. Deputi Bidang Protokol-Pers-dan Media Sekretariat. "Presiden Jokowi Bahas Implementasi Peta Jalan Industri 4.0." http://ksp.go.id/presiden-jokowi-bahas-implementasi-peta-jalan-industri-4-0/index.html (accessed.
R. Aisyah. "Indonesia rolls out index to assess progress on Industry 4.0." https://www.thejakartapost.com/news/2019/01/18/indonesia-rolls-out-index-to-assess-progress-on-industry-4-0.html (accessed.
M. A. Kamarul Bahrin, M. F. Othman, N. H. Nor Azli, and M. F. Talib, "Industry 4.0: A Review on Industrial Automation and Robotic," Jurnal Teknologi, vol. 78, no. 6-13, pp. 2180-3722, 2016, doi: 10.11113/jt.v78.9285.
R. Kitchin, "Big Data, new epistemologies and paradigm shifts," Big Data & Society, vol. 1, no. 1, 2014, doi: 10.1177/2053951714528481.
S. Fosso Wamba, S. Akter, A. Edwards, G. Chopin, and D. Gnanzou, "How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study," International Journal of Production Economics, vol. 165, pp. 234-246, 2015, doi: 10.1016/j.ijpe.2014.12.031.
W. I. Yudhistyra, E. M. Risal, I. s. Raungratanaamporn, and V. Ratanavaraha, "Exploring Big Data Research: A Review of Published Articles from 2010 to 2018 Related to Logistics and Supply Chains," Operations and Supply Chain Management: An International Journal, vol. 13, no. 2, pp. 134-149, 2020, doi: 10.31387/oscm0410258.
S. Akter, S. F. Wamba, A. Gunasekaran, R. Dubey, and S. J. Childe, "How to improve firm performance using big data analytics capability and business strategy alignment?," International Journal of Production Economics, vol. 182, pp. 113-131, 2016, doi: 10.1016/j.ijpe.2016.08.018.
A. Gunasekaran et al., "Big data and predictive analytics for supply chain and organizational performance," Journal of Business Research, vol. 70, pp. 308-317, 2017, doi: 10.1016/j.jbusres.2016.08.004.
B. Marr. "The 6 Top Data Jobs In 2018." https://www.forbes.com/sites/bernardmarr/2018/05/09/the-6-top-data-jobs-in-2018/#6f7cf63e430d (accessed.
B. Marr. "How Much Data Do We Create Every Day? The Mind-Blowing Stats Everyone Should Read." https://www.forbes.com/sites/bernardmarr/2018/05/21/how-much-data-do-we-create-every-day-the-mind-blowing-stats-everyone-should-read/#6145c9b560ba (accessed.
R. I. Kementrian Perindustrian, "Videografis Indonesia Industry 4.0 Readiness Index 4.0 (INDI 4.0)," ed, 2020.
F. A. Batarseh and E. A. Latif, "Assessing the Quality of Service Using Big Data Analytics," Big Data Research, vol. 4, pp. 13-24, 2016, doi: 10.1016/j.bdr.2015.10.001.
A. A. Alani, F. D. Ahmed, M. A. Majid, and M. S. Ahmad, "Big Data Analytics for Healthcare Organizations a Case Study of the Iraqi Healthcare Sector," Advanced Science Letters, vol. 24, no. 10, pp. 7783-7789, 2018, doi: 10.1166/asl.2018.13017.
J. Moyne and J. Iskandar, "Big data analytics for smart manufacturing: Case studies in semiconductor manufacturing," Processes, vol. 5, no. 3, 2017, doi: 10.3390/pr5030039.
M. Naimur Rahman, A. Esmailpour, and J. Zhao, "Machine Learning with Big Data An Efficient Electricity Generation Forecasting System," Big Data Research, vol. 5, pp. 9-15, 2016, doi: 10.1016/j.bdr.2016.02.002.
A. R. Honarvar and A. Sami, "Towards Sustainable Smart City by Particulate Matter Prediction Using Urban Big Data, Excluding Expensive Air Pollution Infrastructures," Big Data Research, vol. 17, pp. 56-65, 2019, doi: 10.1016/j.bdr.2018.05.006.
J. Manyika et al., "Big Data: The Next Frontier for Innovation, Competition, and Productivity," Seoul, 2011. [Online]. Available: www.mckinsey.com/mgi.
D. A. Valarmathi, "Market Basket Analysis for Mobile Showroom," International Journal for Research in Applied Science and Engineering Technology, vol. V, no. X, pp. 1279-1284, 2017, doi: 10.22214/ijraset.2017.10185.
M. Kaur and S. Kang, "Market Basket Analysis: Identify the Changing Trends of Market Data Using Association Rule Mining," Procedia Computer Science, vol. 85, no. Cms, pp. 78-85, 2016, doi: 10.1016/j.procs.2016.05.180.
B. Lantz, Machine Learning with R. Packt Publishing, 2015, pp. 417-417.
R. Agrawal and R. Srikant, "A fast algorithm for mining association rules in image," Santiago, 1994/06// 1994: IBM Almaden Research Center.
C. Hidber, "Online association rule mining," New York, New York, USA, 1999 1999: ACM Press, pp. 145-156, doi: 10.1145/304182.304195. [Online]. Available: http://portal.acm.org/citation.cfm?doid=304182.304195
Y. Huang, X. Wang, and B.-C. Shia, "Efficiency and Consistency Study on Carma," presented at the 2009 Fifth International Joint Conference on INC, IMS and IDC, 2009.
W. I. Yudhistyra, I. s. Raungratanaamporn, and V. Ratanavaraha, "Big Data Analytics Techniques Exploration for Customers Analysis to Gain Competitive Advantage," Bangkok, 2019 2019, pp. 58-63.
R. Wirth, "CRISP-DM : Towards a Standard Process Model for Data Mining," Proceedings of the Fourth International Conference on the Practical Application of Knowledge Discovery and Data Mining, no. 24959, pp. 29-39, 2000.
G. Mariscal, Ó. Marbán, and C. Fernández, "A survey of data mining and knowledge discovery process models and methodologies," The Knowledge Engineering Review, vol. 25, no. 2, pp. 137-166, 2010, doi: 10.1017/S0269888910000032.
P. Dallasega, E. Rauch, and C. Linder, "Industry 4.0 as an enabler of proximity for construction supply chains: A systematic literature review," Computers in Industry, vol. 99, pp. 205-225, 2018, doi: 10.1016/j.compind.2018.03.039.
K. Schwab. "The Fourth Industrial Revolution: what it means and how to respond." https://www.weforum.org/agenda/2016/01/the-fourth-industrial-revolution-what-it-means-and-how-to-respond/ (accessed.
K. Schwab, The Fourth Industrial Revolution. World Economic Forum, 2016, pp. 175-175.
A. C. Pereira and F. Romero, "A review of the meanings and the implications of the Industry 4.0 concept," Procedia Manufacturing, vol. 13, pp. 1206-1214, 2017, doi: 10.1016/j.promfg.2017.09.032.
M. Piccarozzi, B. Aquilani, and C. Gatti, "Industry 4.0 in Management Studies: A Systematic Literature Review," Sustainability, vol. 10, no. 10, 2018, doi: 10.3390/su10103821.
L. Koh, G. Orzes, and F. Jia, "The fourth industrial revolution (Industry 4.0): technologies disruption on operations and supply chain management," International Journal of Operations & Production Management, vol. 39, no. 6/7/8, pp. 817-828, 2019, doi: 10.1108/IJOPM-08-2019-788.
J. Benitez, J. Llorens, and J. Braojos, "How information technology influences opportunity exploration and exploitation firm’s capabilities," Information & Management, vol. 55, no. 4, pp. 508-523, 2018, doi: 10.1016/j.im.2018.03.001.
S. S. Kamble, A. Gunasekaran, and S. A. Gawankar, "Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives," Process Safety and Environmental Protection, vol. 117, pp. 408-425, 2018, doi: 10.1016/j.psep.2018.05.009.
P. Deputi Bidang Protokol-Pers-dan Media Sekretariat. "Presiden Jokowi Bahas Implementasi Peta Jalan Industri 4.0." http://ksp.go.id/presiden-jokowi-bahas-implementasi-peta-jalan-industri-4-0/index.html (accessed.
R. Aisyah. "Indonesia rolls out index to assess progress on Industry 4.0." https://www.thejakartapost.com/news/2019/01/18/indonesia-rolls-out-index-to-assess-progress-on-industry-4-0.html (accessed.
M. A. Kamarul Bahrin, M. F. Othman, N. H. Nor Azli, and M. F. Talib, "Industry 4.0: A Review on Industrial Automation and Robotic," Jurnal Teknologi, vol. 78, no. 6-13, pp. 2180-3722, 2016, doi: 10.11113/jt.v78.9285.
R. Kitchin, "Big Data, new epistemologies and paradigm shifts," Big Data & Society, vol. 1, no. 1, 2014, doi: 10.1177/2053951714528481.
S. Fosso Wamba, S. Akter, A. Edwards, G. Chopin, and D. Gnanzou, "How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study," International Journal of Production Economics, vol. 165, pp. 234-246, 2015, doi: 10.1016/j.ijpe.2014.12.031.
W. I. Yudhistyra, E. M. Risal, I. s. Raungratanaamporn, and V. Ratanavaraha, "Exploring Big Data Research: A Review of Published Articles from 2010 to 2018 Related to Logistics and Supply Chains," Operations and Supply Chain Management: An International Journal, vol. 13, no. 2, pp. 134-149, 2020, doi: 10.31387/oscm0410258.
S. Akter, S. F. Wamba, A. Gunasekaran, R. Dubey, and S. J. Childe, "How to improve firm performance using big data analytics capability and business strategy alignment?," International Journal of Production Economics, vol. 182, pp. 113-131, 2016, doi: 10.1016/j.ijpe.2016.08.018.
A. Gunasekaran et al., "Big data and predictive analytics for supply chain and organizational performance," Journal of Business Research, vol. 70, pp. 308-317, 2017, doi: 10.1016/j.jbusres.2016.08.004.
B. Marr. "The 6 Top Data Jobs In 2018." https://www.forbes.com/sites/bernardmarr/2018/05/09/the-6-top-data-jobs-in-2018/#6f7cf63e430d (accessed.
B. Marr. "How Much Data Do We Create Every Day? The Mind-Blowing Stats Everyone Should Read." https://www.forbes.com/sites/bernardmarr/2018/05/21/how-much-data-do-we-create-every-day-the-mind-blowing-stats-everyone-should-read/#6145c9b560ba (accessed.
R. I. Kementrian Perindustrian, "Videografis Indonesia Industry 4.0 Readiness Index 4.0 (INDI 4.0)," ed, 2020.
F. A. Batarseh and E. A. Latif, "Assessing the Quality of Service Using Big Data Analytics," Big Data Research, vol. 4, pp. 13-24, 2016, doi: 10.1016/j.bdr.2015.10.001.
A. A. Alani, F. D. Ahmed, M. A. Majid, and M. S. Ahmad, "Big Data Analytics for Healthcare Organizations a Case Study of the Iraqi Healthcare Sector," Advanced Science Letters, vol. 24, no. 10, pp. 7783-7789, 2018, doi: 10.1166/asl.2018.13017.
J. Moyne and J. Iskandar, "Big data analytics for smart manufacturing: Case studies in semiconductor manufacturing," Processes, vol. 5, no. 3, 2017, doi: 10.3390/pr5030039.
M. Naimur Rahman, A. Esmailpour, and J. Zhao, "Machine Learning with Big Data An Efficient Electricity Generation Forecasting System," Big Data Research, vol. 5, pp. 9-15, 2016, doi: 10.1016/j.bdr.2016.02.002.
A. R. Honarvar and A. Sami, "Towards Sustainable Smart City by Particulate Matter Prediction Using Urban Big Data, Excluding Expensive Air Pollution Infrastructures," Big Data Research, vol. 17, pp. 56-65, 2019, doi: 10.1016/j.bdr.2018.05.006.
J. Manyika et al., "Big Data: The Next Frontier for Innovation, Competition, and Productivity," Seoul, 2011. [Online]. Available: www.mckinsey.com/mgi.
D. A. Valarmathi, "Market Basket Analysis for Mobile Showroom," International Journal for Research in Applied Science and Engineering Technology, vol. V, no. X, pp. 1279-1284, 2017, doi: 10.22214/ijraset.2017.10185.
M. Kaur and S. Kang, "Market Basket Analysis: Identify the Changing Trends of Market Data Using Association Rule Mining," Procedia Computer Science, vol. 85, no. Cms, pp. 78-85, 2016, doi: 10.1016/j.procs.2016.05.180.
B. Lantz, Machine Learning with R. Packt Publishing, 2015, pp. 417-417.
R. Agrawal and R. Srikant, "A fast algorithm for mining association rules in image," Santiago, 1994/06// 1994: IBM Almaden Research Center.
C. Hidber, "Online association rule mining," New York, New York, USA, 1999 1999: ACM Press, pp. 145-156, doi: 10.1145/304182.304195. [Online]. Available: http://portal.acm.org/citation.cfm?doid=304182.304195
Y. Huang, X. Wang, and B.-C. Shia, "Efficiency and Consistency Study on Carma," presented at the 2009 Fifth International Joint Conference on INC, IMS and IDC, 2009.
W. I. Yudhistyra, I. s. Raungratanaamporn, and V. Ratanavaraha, "Big Data Analytics Techniques Exploration for Customers Analysis to Gain Competitive Advantage," Bangkok, 2019 2019, pp. 58-63.
R. Wirth, "CRISP-DM : Towards a Standard Process Model for Data Mining," Proceedings of the Fourth International Conference on the Practical Application of Knowledge Discovery and Data Mining, no. 24959, pp. 29-39, 2000.
G. Mariscal, Ó. Marbán, and C. Fernández, "A survey of data mining and knowledge discovery process models and methodologies," The Knowledge Engineering Review, vol. 25, no. 2, pp. 137-166, 2010, doi: 10.1017/S0269888910000032.